A mixed-effects, spatially varying coefficients model with application to multi-resolution functional magnetic resonance imaging data
Spatial resolution plays an important role in functional magnetic resonance imaging studies as the signal-to-noise ratio increases linearly with voxel volume. I...
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| Hauptverfasser: | , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
2019
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| In: |
Statistical methods in medical research
Year: 2019, Jahrgang: 28, Heft: 4, Pages: 1203-1215 |
| ISSN: | 1477-0334 |
| DOI: | 10.1177/0962280217752378 |
| Online-Zugang: | Verlag, Volltext: https://doi.org/10.1177/0962280217752378 Verlag: https://journals.sagepub.com/doi/10.1177/0962280217752378 
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| Verfasserangaben: | Zhuqing Liu, Andreas J. Bartsch, Veronica J. Berrocal and Timothy D. Johnson |
| Zusammenfassung: | Spatial resolution plays an important role in functional magnetic resonance imaging studies as the signal-to-noise ratio increases linearly with voxel volume. I... |
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| Beschreibung: | First published online: January 15, 2018 Gesehen am 02.03.2020 |
| Beschreibung: | Online Resource |
| ISSN: | 1477-0334 |
| DOI: | 10.1177/0962280217752378 |